Comparison of methods to detect HIV dual infection.
|Title||Comparison of methods to detect HIV dual infection.|
|Publication Type||Journal Article|
|Year of Publication||2010|
|Authors||Pacold M, Smith D, Little S, Cheng P M, Jordan P, Ignacio C, Richman D, Pond S K|
|Journal||AIDS Res Hum Retroviruses|
|Date Published||2010 Dec|
|Keywords||Adult, Cluster Analysis, Genetic Variation, High-Throughput Nucleotide Sequencing, HIV, HIV Infections, Humans, Male, Middle Aged, Molecular Sequence Data, Sequence Analysis, DNA, Sequence Homology, Virology|
Current methods to detect intraclade HIV dual infection are poorly suited for determining its prevalence in large cohorts. To investigate the potential of ultra-deep sequencing to screen for dual infection, we compared it to bulk sequence-based synonymous mixture index and the current standard of single genome sequencing. The synonymous mixture index identified samples likely to harbor dual infection, while ultra-deep sequencing captured more intra-host viral diversity than single genome sequencing at approximately 40% of the cost and 20% of the laboratory and analysis time. The synonymous mixture index and ultra-deep sequencing are promising methods for rapid and cost-effective systematic identification of HIV dual infection.
|Alternate Journal||AIDS Res. Hum. Retroviruses|